A novel vibration control method for vibration reduction of a spacial structure subjected to earthquake excitation was proposed in this study. Generally, spatial structures have various vibration modes involving high-order modes and their natural frequencies are closely spaced. Therefore, in order to control these modes, a spatially distributed MTMDs (Multiple TMDs) method is proposed previously. MR (Magnetorheological) damper were used to enhance the control performance of the MTMDs. Accordingly, MSTMDs (Multiple Smart TMDs) were proposed in this study. An arch structure was used as an example structure because it has primary characteristics of spatial structures and it is a comparatively simple structure. MSTMDs were applied to the example arch structure and the seismic control performance were evaluated based on the numerical simulation. Fuzzy logic control algorithm (FLC) was used to generate command voltages sent for MSTMSs and the FLC was optimized by genetic algorithm. Based on the analytical results, it has been shown that the MSTMDs effectively decreased the dynamic responses of the arch structure subjected to earthquake loads.

The fatalities of the evacuation facilities of the buildings accessed by unspecified people on the daily basis are significantly emerged as a problem. Evacuation facilities should be designed for common human behaviors the assumption that the customers are not familiar with the buildings. In addition, the characteristics of modern buildings such as high-rising and enlarging should be considered to design the evacuation plan. The evacuation is a problem that people reach a safe place with themselves. The architectural plan for the life safety should be established to minimize various disaster damages. To do so, the factors such as time, risks on the steps, combustion ash variables, safety training should be considered on the architectural planing.

최근 컴퓨터 기술의 급속한 발전으로 인해 게임 환경도 점차 발전되고 있다. 디스플레이 장치는 대형화 되었으며 다중의 디스플레이를 사용하는 사용자가 늘고 있다. 기존 게임 환경에서 게임용 컨트롤러를 통한 인터랙션은 사용자의 이동을 제한하였다. 이 논문에서 우리는 게임 환경에서 사용되는 다양한 방식의 컨트롤러를 인식 센서 내장형와 외장형으로 구분하여 분석해 보았으며 넓어진 사용자 환경에 적합한 포인팅 인터랙션 방식에 대해 살펴보았다. 발전되는 게임 환경에서 다중의 디스플레이 장치가 있는 환경에서는 공간에 대한 포인팅 인터랙션이 고려되어야 한다. 우리가 실험한 두 가지 pointing controller 중 LED-bar 시스템은 프로젝터 화면과 모니터 등 다중의 디스플레이 환경 또는 공간상 특정 객체를 포인팅하는 것이 가능하며 다수의 카메라 센서를 사용하여 사용자의 공간을 충분히 넓힐 수 있다.

In this work, pellet type sorbents were prepared to control the low level indoor carbon dioxide with various physical compositions. In order to enhance the adsorption capacity, a few additives including alkali hydroxides were added to a commercial zeolitic sorbent by impregnation of alkali cation - Ca²⁺ through physical mixing and ion exchange. It was found that the binding materials such as dextrin or bentonite facilitating to form the granular sorbents would assist the adsorption capacity of sorbents. The ion exchange was more efficient for impregnation of alkalies, which showed better adsorption of gaseous CO₂.

In case of spatial structures with different ground condition or time lag occurred by earthquake velocity, multiple support excitation may be subjected to supports of a keel arch structure. In this study, the response of the keel arch structure under multiple support excitation are analyzed by means of the pseudo excitation method. Pseudo excitation method shows that the structural response is divided into two parts, ground displacement and structural dynamic response due to ground motion excitation. It is known that the seismic responses of spatial structure under multiple support excitation are different from those of spatial structure under unique simple excitation.

가상세계에서 다중 에이전트들의 집단행동을 사실적으로 시뮬레이션하는 것은 중요하다. 대부분의 기존 연구가 개방된 공간에서의 집단행동에 초점 맞춘 반면, 본 논문은 제한된 공간에서 조종력을 이용한 집단행동에 대하여 연구한다. 에이전트들은 제한된 공간에서 하나의 공동 목적지를 가지며, 다른 에이전트와 충돌을 피하면서 목적지로 이동하여야 한다. 이러한 환경에서 세 가지 가능한 에이전트 모델을 제시 하였으며, 각 모델에 필요한 여섯 가지 조종력도 제안하였다. 제안된 모델의 올바름을 보이기 위하여 모델들을 시뮬레이션 하였다. 시뮬레이션 결과는 벽들과 출입구에 따라 각 에이전트가 목적지에 도착하는 시간은 달랐지만, 단순히 조종력만을 사용하는 제안된 모델들이 제한된 공간에서 잘 동작하는 것을 보였다.

The paper proposes a human-following behavior of mobile robot and an intelligent space (ISpace) is used in order to achieve these goals. An ISpace is a 3-D environment in which many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents providing humans with services. A mobile robot is controlled to follow a walking human using distributed intelligent sensors as stably and precisely as possible. The moving objects is assumed to be a point-object and projected onto an image plane to form a geometrical constraint equation that provides position data of the object based on the kinematics of the intelligent space. Uncertainties in the position estimation caused by the point-object assumption are compensated using the Kalman filter. To generate the shortest time trajectory to follow the walking human, the linear and angular velocities are estimated and utilized. The computer simulation and experimental results of estimating and following of the walking human with the mobile robot are presented.

We propose a optimal fusion method for localization of multiple robots utilizing correlation between GPS on each robot in common workspace. Each mobile robot in group collects position data from each odometer and GPS receiver and shares the position data with other robots. Then each robot utilizes position data of other robot for obtaining more precise estimation of own position. Because GPS data errors in common workspace have a close correlation, they contribute to improve localization accuracy of all robots in group. In this paper, we simulate proposed optimal fusion method of odometer and GPS through virtual robots and position data.

The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. And the article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguity conditions. We propose to track the moving objects by generating hypotheses not in the image plan but on the top-view reconstruction of the scene. Comparative results on real video sequences show the advantage of our method for multi-object tracking. Also, the method is applied to the intelligent environment and its performance is verified by the experiments.